EconPapers    
Economics at your fingertips  
 

MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis

Hans Lofgren, Martín Cicowiez () and Carolina Diaz-Bonilla

Chapter Chapter 4 in Handbook of Computable General Equilibrium Modeling, 2013, vol. 1, pp 159-276 from Elsevier

Abstract: This chapter presents MAMS (Maquette for MDG Simulations), a recursive-dynamic CGE model developed at the World Bank for analysis of medium- to long-run country strategies for low- and middle-income countries, including strategies aimed at improving MDG (Millennium Development Goals) outcomes. Compared to other CGE models, MAMS offers a unique combination of new and policy-relevant features, most importantly disaggregation of the government services by function, broad and integrated coverage of MDGs and endogenous links between education and the labor market. The chapter provides a detailed description of MAMS, the policy insights that it has generated, exemplified by a case study of Yemen and the lessons learned from developing and applying MAMS to a large number of countries.

Keywords: Computable general equilibrium model; millennium development goals; human development; fiscal policy (search for similar items in EconPapers)
JEL-codes: C68 E62 O15 O21 H50 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/B9780444595683000043
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:hacchp:v:1:y:2013:i:c:p:159-276

DOI: 10.1016/B978-0-444-59568-3.00004-3

Access Statistics for this chapter

More chapters in Handbook of Computable General Equilibrium Modeling from Elsevier
Bibliographic data for series maintained by Haili He ().

 
Page updated 2020-09-08
Handle: RePEc:eee:hacchp:v:1:y:2013:i:c:p:159-276